Data Scientist
Core
Apply process mining, optimization, and AI/ML techniques to process-centric data to identify inefficiencies, predict process behavior, and optimize end-to-end business performance within Shell's Digital Process Twin portfolio.
Role type
Senior IC Data Scientist (Process Mining & Optimization)
Builds
Scalable analytical solutions and intelligent models integrated into Shell's process-mining ecosystem for real-time analytics.
Domain
Energy sector process intelligence and digital transformation
Deliverable
production ML models
Required skills
Python, SQL, process mining algorithms, machine learning, optimization algorithms, MLOps, data modeling for event data, cloud environments (Azure/AWS/GCP), process simulation, operations research
Preferred skills
Celonis EMS, SAP Signavio, PM4Py, ProM, Spark, Databricks, Responsible AI frameworks, deep learning
Technologies
GitHub, CI/CD pipelines, Docker, MLflow, Celonis EMS, SAP Signavio, PM4Py, ProM, Spark, Databricks
Responsibilities
Develop and implement machine learning and optimization models using process event data; Apply process-mining and AI/ML techniques to discover process patterns and quantify improvement opportunities; Implement and maintain process data models integrating data from enterprise systems; Collaborate with engineers to embed models into Shell's process-mining platform; Develop algorithms combining process-mining insights with AI/ML for anomaly detection and forecasting; Implement MLOps and DevOps workflows for model lifecycle management; Contribute to research and innovation in process intelligence and digital twins.
Seniority
Senior, hands-on IC
